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Distributed Weight Adaptive Control for Frequency Regulation of Islanded Microgrid

Author

Listed:
  • Guoxing Yu

    (School of New Energy, Harbin Institute of Technology, Weihai 264209, China)

  • Huihui Song

    (School of New Energy, Harbin Institute of Technology, Weihai 264209, China)

  • Meng Liu

    (Electric Power Research Institute, State Grid Shandong Electric Power Company, Jinan 250000, China)

  • Zongxun Song

    (State Grid Weihai Supply Company, Weihai 264200, China)

  • Yanbin Qu

    (School of New Energy, Harbin Institute of Technology, Weihai 264209, China)

Abstract

The consensus control method based on a multi-agent system has been widely applied in the distributed control and optimization of microgrids. However, the following drawbacks are still common in current research: (1) ignoring the influence of consensus control commands on the synchronization stability of the physical grid under primary control; (2) only focusing on improving one property ofcontrol performance, lacking comprehensive considerations of multiple properties. With the aim of solving these problems, in this paper we propose a weight-adaptive robust control strategy for implementing distributed frequency regulation of islanded microgrids. Firstly, the frequency synchronization stability of the physical layer is analyzed by means of a coupled oscillator theory and the design objectives of the controllable parameters for the information layer are formed. Subsequently, the relationship between the weight coefficients and the two important control performances of convergence speed and delay robustness is strictly analyzed. Based on this, an adaptive coefficient that can be autonomously adjusted according to the frequency deviation is designed to achieve a trade-off between convergence speed and delay robustness. Finally, three simulation studies are presented to verify the effectiveness of the proposed control strategy.

Suggested Citation

  • Guoxing Yu & Huihui Song & Meng Liu & Zongxun Song & Yanbin Qu, 2022. "Distributed Weight Adaptive Control for Frequency Regulation of Islanded Microgrid," Energies, MDPI, vol. 15(11), pages 1-16, June.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:11:p:4136-:d:831738
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    References listed on IDEAS

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    3. Huihui Song & Linkun Han & Yichen Wang & Weifeng Wen & Yanbin Qu, 2022. "Kron Reduction Based on Node Ordering Optimization for Distribution Network Dispatching with Flexible Loads," Energies, MDPI, vol. 15(8), pages 1-14, April.
    4. Iris, Çağatay & Lam, Jasmine Siu Lee, 2021. "Optimal energy management and operations planning in seaports with smart grid while harnessing renewable energy under uncertainty," Omega, Elsevier, vol. 103(C).
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